Sponsors

CompSoc is very kindly sponsored by all the companies below. It’s due to this
sponsorship that CompSoc is able to host so many great events thoughout the
year, and provide so much food.

All of our sponsors are looking for applications for graduate jobs or
internship, so take a moment to read their details, and maybe even apply. Most
of these companies are also hosting events with us throughout the year, and you
can find out more details about each sponsor here.

Ensoft is a UK based software company of about 70 engineers that specialises in
developing all aspects of networking software.

We work with major US product vendors to deliver software solutions for the
routers that run the Internet.

Development is based on Ensoft’s renowned EnQuality development methodology.
This approach embraces the innovation of our engineers and provides a framework
of collaboration within the team, yet affords management control to ensure high
quality and that we meet our delivery dates.

The company is privately held and has been highly profitable since its
incorporation in 1997 growing to £10 million revenue. This success is in no
small part based on the exceptional level of knowledge and expertise within the
team and the application of the EnQuality methodology, but it is underpinned by
the calibre of our annual graduate recruits and the dedication of our team to
the training and personal development of everyone within the company.

At G-Research we research algorithmic trading
strategies to predict price movements in financial markets across multiple
asset classes. We hire the best Quantitative Analysts, Software Developers and
IT Analysts to produce quantitative investment research, software and IT
systems for use in investment management.

Our Software Developers create bespoke software to give research and trade
execution platforms the edge. Developers work in project-driven and dynamic
teams using their technical skills and experience to produce robust and
scalable software that is at the heart of everything we do. They grasp core
programming concepts such as algorithms and data structures, and appreciate
good software architecture.

Our IT Analysts upgrade, maintain and support globally distributed IT systems
used to trade 24/7. At G-Research the scale of our physical and virtual IT
Infrastructure dwarfs those of other companies many times the size, with
continuing investment in the latest IT technologies to keep ahead of the
competition.

Our Quantitative Analysts apply scientific methods from areas such as machine
learning, Bayesian statistics or physics to help them find patterns in
real-world financial data sets. Techniques such as time series analysis,
probability theory and regression analysis are used to predict the future. Our
Quantitative Analysts work on their own ideas and pursue the problem that
especially interest them to research novel strategies for use in global
markets.

The working environment is positive and informal; there is no dress code, and
people are judged on the quality of their work. G-Research can offer you a
rewarding career in a dynamic firm where good ideas are encouraged, recognised
and rewarded from all employees.

Jane Street is a quantitative trading firm with a
unique focus on technology and collaborative problem solving. Our trading is
based on our own proprietary models and on busy days we engage in over a
million trades. Technology is at the core of how we approach trading, and we
consider ourselves as much a technology company as a trading firm. We use OCaml
(a statically typed functional programming language) as our primary development
language.

Our growth comes from hiring and training amazing people and giving them the
tools they need to innovate. Our culture is casual and our careers are
intensely rewarding.

Palantir Technologies builds software platforms that
help human experts perform powerful, collaborative analysis of data at scale.
Palantir’s software is deployed at public institutions, private enterprises,
and in the non-profit sector to address the challenges of responsibly making
sense of complex and diverse data.

We solve the technical problems, so they can solve the human ones. Combating
terrorism. Tracking disease outbreaks. Finding missing and exploited children.
We believe that with the right technology and enough data, people can still
solve hard problems and change the world for the better.